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Website To Framevideo

  • 75 installs
  • Updated July 24, 2026
  • chanjing-ai/framevideo

Capture a website from a URL and produce a FrameVideo social ad, product tour, or promo video through a gated capture-to-delivery workflow.

About

Captures a website from a URL and produces a FrameVideo video such as a social ad, product tour, or launch teaser through a gated seven-step workflow. A developer uses it when a user provides a URL and wants a video made from an existing site.

  • Seven-step workflow from URL capture to delivered video
  • Gated storyboard, VO, build, and validation steps

Website To Framevideo by the numbers

  • 75 all-time installs (skills.sh)
  • Ranked #835 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/chanjing-ai/framevideo --skill website-to-framevideo

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Installs75
Last updatedJuly 24, 2026
Repositorychanjing-ai/framevideo

What it does

Capture a website from a URL and produce a FrameVideo social ad, product tour, or promo video through a gated capture-to-delivery workflow.

Files

SKILL.mdMarkdownGitHub ↗

Website to FrameVideo

Capture a website, then produce a professional video from it.

Users say things like:

  • "Capture https://... and make me a 25-second product launch video"
  • "Turn this website into a 15-second social ad for Instagram"
  • "Create a 30-second product tour from https://..."

The workflow has 7 steps. Each produces an artifact that gates the next. By default it's collaborative — gates marked 💬 stop and ask the user. If the user signals autonomous mode ("decide for me", "surprise me"), 💬 user-preference gates are skipped; see step-2-brief.md for how that propagates.

Autonomous mode is NOT "skip all gates." Auto mode covers user-preference questions (TTS provider, voice, color emphasis, beat count, music yes/no, captions yes/no — where the agent decides on the user's behalf). It does NOT cover quality-verification gates. The following remain non-skippable in auto mode:

  • Asset Audit (Step 3) — viewing contact sheets and justifying USE/SKIP for each asset
  • Per-beat HTML read (Step 5) — structured evidence block per beat
  • DoD checklist (Step 6) — including animation-map, per-warning WCAG verification, audio/motion playback
  • Honest disclosure section (Step 6) — "What I did NOT verify" must appear in your final summary

If you find yourself reasoning "auto mode says bias toward action, so I'll skip X" — and X is a verification gate, not a preference question — that reasoning is wrong. Bias toward action applies to deciding _what to build_, not to deciding _whether to verify_.

---

Step 0: Capture & Understand the Brand

Read: references/step-0-capture.md

Capture the site, then read the extracted data to understand the brand and product — what it does, who it's for, what voice it speaks in, what mood it lives in. The captured assets are a brand toolkit for later, not the building blocks the video is made from.

Gate: Site summary printed — strategy-first (what the product does, who it's for, brand voice) before the asset / color / font inventory.

---

Step 1: Brand Identity

Read: references/step-1-design.md

Write DESIGN.md — a brand cheat sheet covering the visual identity: colors, typography, component styles, layout principles. Use design-styles.json for exact computed values.

Speed option: For fast-pacing videos (billboard-per-beat), DESIGN.md can be a 50-line summary of colors + fonts + do's/don'ts — not a 300-line document. The sub-agent prompt in Step 5 pastes brand values directly, so DESIGN.md depth only matters for complex compositions.

Gate: DESIGN.md exists (any length) with at minimum: color palette, font choices, and do's/don'ts.

---

Step 2: Strategy & Messaging

Read: references/step-2-brief.md, references/capabilities.md (scan the Table of Contents — deep-dive sections only as needed)

Align with the user on what the video must communicate before talking visuals or assets. Parse the user's prompt — they probably already gave you the video type and style. Ask only what's missing: the ONE thing this video must say, the narrative arc, and the audience.

Gate: Video type, duration, format, and — critically — the message and narrative arc are locked. Without those, Step 3 can't write a concept-first storyboard.

---

Step 3: Storyboard + Script 💬

Read: references/step-3-storyboard.md

Write the storyboard concept-first: message → narrative arc → beats that serve the arc → techniques per beat → brand accents pass at the end. Then write the narration script to match. Present both to the user with a beat-by-beat summary. Iterate until they approve.

Gate: STORYBOARD.md + SCRIPT.md exist AND the user has approved the plan.

---

Step 4: VO, Timing + Captions 💬

Read: references/step-4-vo.md

If Step 2 said no narration — ask about background music, then skip to Step 5. Otherwise: ask the user which TTS provider (Chanjing TTS, ElevenLabs, or Kokoro), generate audio, transcribe, map timestamps to beats. Then ask about captions.

Gate: Either (a) no narration was requested and storyboard has manual beat timings, or (b) narration.wav + transcript.json exist and beat timings updated with real durations.

---

Step 5: Build Compositions

Read: The framevideo skill (load it — every rule matters) Read: references/step-5-build.md

Build index.html and compositions following the architecture and pacing chosen in the storyboard (Step 3). Sub-agents run framevideo lint and framevideo snapshot on each beat before reporting back.

Gate: Every compositions/beat-N.html has been read top-to-bottom by the main agent against DESIGN.md and STORYBOARD.md. The per-beat checklist lives in step-5-build.md.

---

Step 6: Validate & Deliver

Read: references/step-6-validate.md

Lint, validate, take snapshots scaled to video length (formula: max(beats × 3, ceil(duration_seconds / 2))), and review each one. Fix issues before delivering. Deliver the localhost Studio project URL — only render to MP4 on explicit user request.

Deliver something you're proud of. Before handing off, ask yourself: would I post this on social media with my name on it? If not, fix what's wrong.

Gate: npx framevideo lint and npx framevideo validate pass with zero errors, and the final response includes the active Studio project URL.

---

Quick Reference

Video Types

Typical constraints by video type — use as a starting point, not a formula. Beat count should follow from the content and the narration, not from a target range.

TypeTypical durationDuration driverNarration
Social ad (IG/TikTok)10–15sPlatform limitOptional
Product demo30–60sScript lengthFull narration
Feature announcement15–30sFeature complexityFull narration
Brand reel20–45sMusic trackOptional, music focus
Launch teaser10–20sHook energyMinimal

Beat count is not in this table intentionally — it should come from the storyboard, not from "social ad = 3-4 beats." A social ad for a complex product might need 5 well-timed beats. A brand reel with one strong visual thesis might need 3.

Format

  • Landscape: 1920x1080 (default)
  • Portrait: 1080x1920 (Instagram Stories, TikTok)
  • Square: 1080x1080 (Instagram feed)

Reference Files

FileWhen to read
step-0-capture.mdStep 0 — capture, understand the brand and product, write strategy-first site summary
step-1-design.mdStep 1 — write DESIGN.md brand cheat sheet (5 sections, 250-350 lines; 50-line fast-path for billboard-style social ads)
step-2-brief.mdStep 2 — align on message, narrative arc, audience with user
capabilities.mdSteps 2 & 5 — full inventory of what FrameVideo can do (24 sections). Scan the TOC during the brief, deep-dive specific sections during build
step-3-storyboard.mdStep 3 — storyboard + script (combined) with user review gate
step-4-vo.mdStep 4 — TTS provider choice, generation, timing
step-5-build.mdStep 5 — build index.html + compositions
step-6-validate.mdStep 6 — lint, validate, snapshots (scaled to video length), preview
techniques.mdSteps 3 & 5 — 13 primitive animation techniques with code patterns (adapt, don't copy-paste)
html-in-canvas-patterns.mdStep 5 — complete code patterns for HTML-in-Canvas effects (lives in the framevideo skill)

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